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Database Automation Engineer Jobs in Delaware (NOW HIRING)

Java AWS Software Engineer III

Newark, DE · On-site

$50.50 - $69.50/hr

... automation. * Mentor and support junior developers by offering technical guidance, conducting ... Hands-on experience working with AWS cloud services (e.g., S3, EC2, EMR), NoSQL databases such as ...

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Create Python scripts and applications for automation, data processing, and backend services ... Experience with NoSQL databases (MongoDB or DynamoDB) is a plus. * Experience with Git, Maven ...

Drive continuous improvement initiatives for test architecture, fixture reliability, automation ... Familiarity with data logging, database integration, test result analytics, and failure trend ...

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

... NoSQL/Relational databases (e.g., PostgreSQL, MongoDB, DynamoDB). * Automation & CI/CD: Take ... engineering (Java-focused). * 1+ years of experience with cloud-based platforms ( AWS preferred

Lead AI Engineer

Wilmington, DE · On-site

$186K - $285K/yr

... tooling, automation, and process enhancements * Mentor senior engineers, foster communities of ... Strong experience with relational and NoSQL database technologies * Experience leading architecture ...

Showing results 41-60

Database Automation Engineer information

What is a database automation engineer?

Database Automation Engineers are IT professionals who design, implement, and manage automated processes to streamline database operations. Their primary goal is to reduce manual intervention by leveraging scripting, tools, and technologies such as DevOps pipelines, configuration management, and monitoring solutions. They ensure databases are efficiently deployed, maintained, and monitored for performance and reliability, often collaborating with database administrators and development teams. This role requires a strong understanding of database systems, automation tools, and programming languages.

What are the key skills and qualifications needed to thrive as a database automation engineer?

To thrive as a Database Automation Engineer, you need expertise in database management, scripting languages (such as Python or PowerShell), and a solid understanding of automation processes, often supported by a degree in computer science or a related field. Familiarity with database platforms (like MySQL, SQL Server, or Oracle), automation tools (such as Ansible or Jenkins), and certifications like Microsoft Certified: Azure Database Administrator Associate are typically beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring efficient, reliable, and scalable database operations in complex, data-driven environments.

How does a database automation engineer typically collaborate with development and operations teams?

Database Automation Engineers work closely with both development and operations teams to streamline database deployment, management, and monitoring. They often design automated workflows for database provisioning, backups, and updates, ensuring that developers have reliable access to data while minimizing downtime. Collaboration includes participating in DevOps initiatives, supporting CI/CD pipelines, and troubleshooting performance issues alongside other team members. This cross-functional teamwork helps maintain database reliability and supports rapid delivery cycles.

What is the difference between Database Automation Engineer vs Database Administrator?

AspectDatabase Automation EngineerDatabase Administrator
Primary FocusDevelops automation scripts and tools to streamline database processesManages, maintains, and secures databases manually
Skills & CertificationsSQL, scripting, automation tools, certifications like Oracle or Microsoft SQL ServerDatabase management, backup, recovery, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentOften works in DevOps, software development, or IT automation teamsTypically in IT operations, data management teams

While both roles require strong SQL knowledge and certifications, the Database Automation Engineer focuses on creating automated solutions to improve database efficiency, whereas the Database Administrator handles the day-to-day management and security of databases. Understanding these differences helps organizations assign the right skills to optimize database performance and reliability.

What are popular job titles related to Database Automation Engineer jobs in Delaware?

For Database Automation Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Database Automation Engineer jobs in Delaware look for?

The top searched job categories for Database Automation Engineer jobs in Delaware are:

What cities in Delaware are hiring for Database Automation Engineer jobs?

Cities in Delaware with the most Database Automation Engineer job openings:

Lead Software Engineer-AWS and Terraform

JPMorgan Chase & Co.

Wilmington, DE • On-site

$150 - $190/hr

Other

Re-posted 21 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer-AWS and Terraform at JPMorgan Chase within the Corporate Sector-Commercial and Investment Banking Finance team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Drives team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands‑on experience delivering end‑to‑end solutions across system design, application development, testing, and operational stability for production systems
  • Advanced proficiency in one or more programming languages, including Python
  • Practical cloud‑native engineering experience, including designing and operating workloads on AWS
  • Strong AWS compute expertise (EC2, ECS/EKS, and/or Lambda), with an emphasis on performance, resiliency, and cost awareness
  • Solid AWS networking knowledge (VPC, subnets, security groups, NACLs, Route 53, load balancers) to design secure and resilient architectures
  • Experience with AWS storage and data platforms (S3, EBS, EFS; and databases such as RDS/Aurora/DynamoDB as applicable) to support varied application needs
  • Proven Infrastructure‑as‑Code skills with Terraform, including authoring/maintaining reusable modules, managing remote state and locking, and applying workspace/environment best practices
  • Strong automation and delivery capabilities, including CI/CD pipeline design, integrating Terraform into workflows, automated validation/testing (linting, plan approvals), and scripting (Python, Bash, or PowerShell) to streamline engineering processes
  • Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
  • Experience with modern front‑end technologies
  • Experience working in financial services
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